Mauro Bruno

Invited Session
Data Visualization for Smart Insights and Advanced Predictive Analytics
Organizer/Chair: Roberta Varriale (Sapienza Università di Roma)
Discussant: Ilaria Prosdocimi (Università Ca' Foscari Venezia)
Room: T30
Floor: ground
Short summary: Data visualization can be defined as the representation of data through the use of common graphs, such as charts, graphs, infographics, etc. These information visualizations communicate complex data relationships and data-driven insights in a way that is easy to understand. The science of data visualiza-tion comes from understanding how humans collect and process information: we process visual infor-mation much faster than text. In addition, the human brain decodes information through patterns and models. Effective data visualization is the final step in data analysis: without it, important information and messages can be lost and incorrect data visualization leads the audience to misunderstand the actual data and make wrong decisions. The session will examine three examples of data visualization from different fields of research: of-ficial statistics, private companies, and universities. The session will be an opportunity to exchange ideas and perspectives on a topic that is becoming fundamental to the communication of statistical infor-mation in a world of big and fast data.

Paper
TERRA: a smart visualization tool for international trade in goods statistics Author(s)  Francesco Amato   Mauro Bruno   Maria Serena Causo

Invited Session
Machine learning: different uses and perspectives
Organizer: Matteo Mazziotta (ISTAT)
Chairs: Salvatore Strozza (Università di Napoli Federico II)
Discussant: Annamaria Bianchi (Università di Bergamo)
Room: T32
Floor: ground
Short summary: The use of machine learning techniques is increasing and it can play a crucial role in Official Statistics improving the quality of the outputs or increasing the efficiency of the production processes. In the last few years, several projects were launched for testing its use and applicability in different contexts. The aim of the session is to show the various applications in order to understand their usefulness in a critical perspective in which pros and cons are at the center of scientific debate

Paper
Machine Learning for Official Statistics: An Application on External Trade Author(s)  Mauro Bruno   Maria Serena Causo   Alessio Guandalini   Francesco Ortame   Silvia Russo